Δημοσιεύσεις Διδακτορικών Φοιτητών

Η κατηγορία αυτή περιλαμβάνει τις επιστημονικές δημοσιεύσεις των Υποψήφιων Διδακτόρων (Υ.Δ.) του Τμήματος (πηγή scopus). Οι δημοσιεύσεις αυτές αντικατοπτρίζουν την ερευνητική δραστηριότητα του Τμήματος, την πρωτοτυπία των θεμάτων που αναπτύσσονται από τους Υ.Δ., καθώς και τη συνεισφορά τους στην επιστημονική κοινότητα σε εθνικό και διεθνές επίπεδο.

  1. ‘TwiFly: A data analysis framework for Twitter’, Chatziadam P., Dimitriadis A., Gikas S., Logothetis I., Michalodimitrakis M., Neratzoulakis M., Papadakis A., Kontoulis V., Siganos N., Theodoropoulos D., Vougioukalos G., Hatzakis I., Gerakis G., Papadakis N., Kondylakis H.Information (Switzerland), 2020, 11 (5), art. no. 247.
  2. ‘An extensive case study on the dispersion parameters of HI-assisted reduced graphene oxide and its graphene oxide precursor’, Anagnostou K., Stylianakis M.M., Atsalakis G., Kosmidis D.M., Skouras A., Stavrou I.J., Petridis K., Kymakis E. Journal of Colloid and Interface Science, 2020, 580, pp. 332 – 344.
  3. ‘Full-scale implementation of res and storage in an island energy system’, Fiorentzis K., Katsigiannis Y., Karapidakis E. Inventions, 2020, 5 (4), pp. 1 – 14.
  4. ‘Cost analysis of demand-side generating assets contribution to ancillary services of island power systems’, Fiorentzis K., Karapidakis E., Tsikalakis A. Inventions, 2020, 5 (3), pp. 1 – 19.
  5. ‘Ontology based governance for employee services’, Tzagkarakis E., Kondylakis H., Vardakis G., Papadakis N. Algorithms, 2021, 14 (4), art. no. 104.
  6. ‘Inverted perovskite solar cells with enhanced lifetime and thermal stability enabled by a metallic tantalum disulfide buffer layer’, Chatzimanolis K., Rogdakis K., Tsikritzis D., Tzoganakis N., Tountas M., Krassas M., Bellani S., Najafi L., Martín-García B., Oropesa-Nuñez R., Prato M., Bianca G., Plutnarova I., Sofer Z., Bonaccorso F., Kymakis E. Nanoscale Advances, 2021, 3 (11), pp. 3124 – 3135.
  7. ‘Ultrathin PTAA interlayer in conjunction with azulene derivatives for the fabrication of inverted perovskite solar cells’, Tzoganakis N., Feng B., Loizos M., Krassas M., Tsikritzis D., Zhuang X., Kymakis E. Journal of Materials Chemistry C, 2021, 9 (41), pp. 14709 – 14719.
  8. ‘Coverage-Based Summaries for RDF KBs’, Vassiliou G., Troullinou G., Papadakis N., Stefanidis K., Pitoura E., Kondylakis H. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, 12739 LNCS, pp. 98 – 102.
  9. ‘The smart‐insole dataset: Gait analysis using wearable sensors with a focus on elderly and parkinson’s patients’, Chatzaki C., Skaramagkas V., Tachos N., Christodoulakis G., Maniadi E., Kefalopoulou Z., Fotiadis D.I., Tsiknakis M. Sensors, 2021, 21 (8), art. no. 2821.
  10. ‘Unification of edge energy grids for empowering small energy producers’, Markakis E.K., Nikoloudakis Y., Lapidaki K., Fiorentzis K., Karapidakis E. Sustainability (Switzerland), 2021, 13 (15), art. no. 8487.
  11. ‘Indoor Perovskite Photovoltaics for the Internet of Things—Challenges and Opportunities toward Market Uptake’, Polyzoidis C., Rogdakis K., Kymakis E. Advanced Energy Materials, 2021, 11 (38), art. no. 2101854.
  12. ‘Two-dimensional BiTeI as a novel perovskite additive for printable perovskite solar cells’, Tsikritzis D., Chatzimanolis K., Tzoganakis N., Bellani S., Zappia M.I., Bianca G., Curreli N., Buha J., Kriegel I., Antonatos N., Sofer Z., Krassas M., Rogdakis K., Bonaccorso F., Kymakis E. Sustainable Energy and Fuels, 2022, 6 (23), pp. 5345 – 5359.
  13. ‘Smart Home: Deep Learning as a Method for Machine Learning in Recognition of Face, Silhouette and Human Activity in the Service of a Safe Home’, Vardakis G., Tsamis G., Koutsaki E., Haridimos K., Papadakis N. Εlectronics (Switzerland), 2022, 11 (10), art. no. 1622.
  14. ‘Hand Interaction Toolset for Augmented Reality Environments’, Logothetis I., Karampidis K., Vidakis N., Papadourakis G. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022, 13445 LNCS, pp. 185 – 199.
  15. ‘Can Gait Features Help in Differentiating Parkinson’s Disease Medication States and Severity Levels? A Machine Learning Approach’, Chatzaki C., Skaramagkas V., Kefalopoulou Z., Tachos N., Kostikis N., Kanellos F., Triantafyllou E., Chroni E., Fotiadis D.I., Tsiknakis M. Sensors, 2022, 22 (24), art. no. 9937.
  16. ‘Enhancing the lifetime of inverted perovskite solar cells using a new hydrophobic hole transport material’, Loizos M., Tountas M., Tzoganakis N., Chochos C.L., Nega A., Schiza A., Polyzoidis C., Gregoriouc V.G., Kymakis E. Energy Advances, 2022, (5), pp. 312 – 320.
  17. ‘An electronic synaptic memory device based on four-cation mixed halide perovskite’, Loizos M., Rogdakis K., Kymakis E. Discover Materials , 2022, 2 (1), art. no. 11.
  18. ‘Geometric Tuning for Enhanced Moisture-Driven Electricity Generation Enabled by Graphene-Oxide Flakes’, Anagnostou K., Veisakis G., Kalogerakis I., Viskadouros G., Rogdakis K., Kymakis E. Coatings, 2022, 12 (12), art. no. 1970.
  19. ‘Mitigating the Impact of an Official PEV Charger Deployment Plan on an Urban Grid’. Konstantinidis G., Karapidakis E., Paspatis A. Energies, 2022, 15 (4), art. no. 1321.
  20. ‘Memristive perovskite solar cells towards parallel solar energy harvesting and processing-in-memory computing’, Rogdakis K., Loizos M., Viskadouros G., Kymakis E. Materials Advances, 2022, 3 (18), pp. 7002 – 7014.
  21. ‘Economic Assessment of Photovoltaics Sizing on a Sports Center’s Microgrid Equipped with PEV Chargers’, Karapidakis E., Konstantinidis G., Vidakis N., Yfanti S. Applied System Innovation, 2022, 5 (4), art. no. 7.
  22. ‘Mixed-Halide Perovskite Memristors with Gate-Tunable Functions Operating at Low-Switching Electric Fields’, Rogdakis K., Chatzimanolis K., Psaltakis G., Tzoganakis N., Tsikritzis D., Anthopoulos T.D., Kymakis E. Advanced Electronic Materials, 2023, 9 (12), art. no. 2300424.
  23. ‘Spatiotemporal Data Mining Problems and Methods’, Koutsaki E., Vardakis G., Papadakis N. Analytics, 2023, 2 (2), pp. 485 – 508.
  24. ‘Automatic assessment of pain based on deep learning methods: A systematic review’, Gkikas S., Tsiknakis M. Computer Methods and Programs in Biomedicine, 2023, 231, art. no. 107365.
  1. ‘Ultra-High Share of Renewable Energy Sources in Interconnected Island Systems †’, Karapidakis E., Mozakis I., Iliadis I. Engineering Proceedings, 2023, 41 (1), art. no. 15.
  2. ‘Experimental Assessment of Common Crucial Factors That Affect LoRaWAN Performance on Suburban and Rural Area Deployments’, Fragkopoulos M., Panagiotakis S., Kostakis M., Markakis E.K., Astyrakakis N., Malamos A. Sensors, 2023, 23 (3), art. no. 1316.
  3. ‘Assessment of Batteries’ Contribution for Optimal Self-Sufficiency in Large Building Complexes’, Karapidakis E., Nikologiannis M., Markaki M., Kikaki A., Yfanti S. Applied System Innovation, 2023, 6 (6), art. no. 107.
  4. ‘Effect of Electrolyte Concentration on the Electrochemical Performance of Spray Deposited LiFePO4, Nanomaterials, 2023, 13 (12), art. no. 1850.
  5. ‘Assessment of the required running capacity in weakly interconnected insular power systems’, Paspatis A.G., Fiorentzis K., Katsigiannis I., Tsikalakis A., Karapidakis E.S., Thalassinakis E.J., Gigantidou A. Electric Power Systems Research, 221, art. no. 109436.
  6. ‘Piezo-Phototronic In2Se3 nanosheets as a Material Platform for Printable Electronics toward Multifunctional Sensing Applications’, Polyzoidis C., Rogdakis K., Veisakis G., Tsikritzis D., Hashemi P., Yang H., Sofer Z., Shaygan Nia A., Feng X., Kymakis E. Αdvanced Materials Technologies, 2023, 8 (17), art. no. 2300203.
  7. ‘3D Geography Course Using AR: The Case of the Map of Greece’, Logothetis I., Katsaris I., Sfyrakis M., Vidakis N. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 14041 LNCS, pp. 170-182.
  8. ‘Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease – A Systematic Review’, Skaramagkas V., Pentari A., Kefalopoulou Z., Tsiknakis M. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31, pp. 2399 – 2423.
  9. ‘SumMER: Structural Summarization for RDF/S KGs’, Trouli G.E., Pappas A., Troullinou G., Koumakis L., Papadakis N., Kondylakis H. Algorithms, 2023, 16 (1), art. no. 18.
  10. ‘A Low-Cost and Lithium-Free Hole Transport Layer for Efficient and Stable Normal Perovskite Solar Cells’, Tzoganakis N., Tsikritzis D., Chatzimanolis K., Zhuang X., Kymakis E. Nanomaterials, 2023, 13 (5), art. no. 883.
  11. ‘Detecting Minor Symptoms of Parkinson’s Disease in the Wild Using Bi-LSTM with Attention Mechanism’, Skaramagkas V., Boura I., Spanaki C., Michou E., Karamanis G., Kefalopoulou Z., Tsiknakis M. Sensors, 2023, 23 (18), art. no. 7850.
  12. ‘EduARdo—Unity Components for Augmented Reality Environments †’, Logothetis I., Sfyrakis M., Vidakis N. Information (Switzerland), 2023, 14 (4), art. no. 252.
  13. ‘Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes’, Skaramagkas V., Giannakakis G., Ktistakis E., Manousos D., Karatzanis I., Tachos N., Tripoliti E., Marias K., Fotiadis D.I., Tsiknakis M. ΙEEE Reviews in Biomedical Engineering, 2023, 16, pp. 260 -277.
  14. ‘Performance and Stability Improvement of Inverted Perovskite Solar Cells by Interface Modification of Charge Transport Layers Using an Azulene–Pyridine Molecule’, Tzoganakis N., Feng B., Loizos M., Chatzimanolis K., Krassas M., Tsikritzis D., Zhuang X., Kymakis E. Εnergy Technology, 2023, 11 (2), art. no. 2201017.
  15. ‘Improved Performance of Hole-Transporting Material-Free Perovskite Solar Cells Using a Low-Temperature Printed Carbon Paste’, Tountas M., Polyzoidis C., Loizos M., Rogdakis K., Kymakis E. ACS Applied Electronic Materials, 2023, 5 (11), pp. 6228 – 6235.
  16. ‘An efficient approach for controlling the crystallization, strain, and defects of the perovskite film in hybrid perovskite solar cells through antisolvent engineering’, Tzoganakis N., Chatzimanolis K., Spiliarotis E., Veisakis G., Tsikritzis D., Kymakis E. Sustainable Energy and Fuels, 2023, 7 (17), pp. 4136 -4149.
  17. ‘Constructing Semantic Summaries Using Embeddings’, Trouli G.E., Papadakis N., Kondylakis H. Information (Switzerland), 2024, 15 (4), art. no. 238.
  18. ‘Sustainable Mixed-Halide Perovskite Resistive Switching Memories Using Self-Assembled Monolayers as the Bottom Contact’, oizos M., Rogdakis K., Kymakis E. Journal of Physical Chemistry Letters, 2024, 15 (30), pp. 7635 – 7644.
  19. ‘Review of Smart-Home Security Using the Internet of Things’, Vardakis G., Hatzivasilis G., Koutsaki E., Papadakis N. Electronics (Switzerland), 2024, 13 (16), art. no. 3343.
  20. ‘Optimization Strategies of Hybrid Lithium Titanate Oxide/Carbon Anodes for Lithium-Ion Batteries’, Apostolopoulou M., Vernardou D., Passerini S. Nanomaterials, 2024, 14 (22), art. no. 1799.
  21. ‘Improving the operational stability of perovskite solar cells with cesium-doped graphene oxide interlayer’, Almalki M., Anagnostou K., Rogdakis K., Eickemeyer F.T., Othman M., Stylianakis M.M., Tsikritzis D., Alanazi A.Q., Tzoganakis N., Pfeifer L., Therisod R., Mo X., Wolff C.M., Hessler-Wyser A., Zakeeruddin S.M., Zhang H., Kymakis E., Grätzel M. Journal of Energy Chemistry, 2024, 96, pp. 483 – 490.
  22. ‘Batteries Contribution Assessment for Optimal Self-Sufficiency in Large Building Complexes †’, Karapidakis E., Nikologiannis M., Kikaki A., Markaki M., Moutsopoulou A. Engineering Proceedings, 2024, 60 (1), art. no. 7.
  23. ‘Digital Educational Tools for Undergraduate Nursing Education: A Review of Serious Games, Gamified Applications and Non-Gamified Virtual Reality Simulations/Tools for Nursing Students’, Chatzea V.E., Logothetis I., Kalogiannakis M., Rovithis M., Vidakis N. Information (Switzerland), 15 (7), 2024, art. no. 410.
  24. ‘Resistive switching memories with enhanced durability enabled by mixed-dimensional perfluoroarene perovskite heterostructures’, Loizos M., Rogdakis K., Luo W., Zimmermann P., Hinderhofer A., Lukić J., Tountas M., Schreiber F., Milić J.V., Kymakis E. Nanoscale Horizons, 2024, 9 (7), pp. 1146 – 1154.
  25. ‘Engineering of the perovskite/electron-transporting layer interface with transition metal chalcogenides for improving the performance of inverted perovskite solar cells’, Tsikritzis D., Chatzimanolis K., Tzoganakis N., Rogdakis K., Zappia M.I., Martín-García B., Bagheri A., Beydaghi H., Děkanovský L., Sofer Z., Bellani S., Bonaccorso F., Kymakis E. Sustainable Energy and Fuels, 2024, 8 (10), pp. 2180 – 2190.
  26. ‘Spray-Coated Transition Metal Dichalcogenides as Hole Transport Layers in Inverted NFA-Based Organic Photovoltaics with Enhanced Stability under Solar and Artificial Light’, Tountas M., Anagnostou K., Sotiropoulos E., Polyzoidis C., Kymakis E. Nanoenergy Advances, 2024, 4 (3), pp. 221 – 234.
  27. ‘A Comparative Sentiment Analysis of Greek Clinical Conversations Using BERT, RoBERTa, GPT-2, and XLNet’, Chatzimina M.E., Papadaki H.A., Pontikoglou C., Tsiknakis M. Bioengineering, 2024, 11 (6), art. no. 521.
  28. ‘Zero Carbon Emissions Due to Ultra-High RES Penetration in Interconnected Island’, Karapidakis E., Mozakis I., Nikologiannis M., Tsikalakis A. Applied Sciences (Switzerland), 2024, 14 (11), art. no. 4668.
  29. ‘One-vs-One, One-vs-Rest, and a novel Outcome-Driven One-vs-One binary classifiers enabled by optoelectronic memristors towards overcoming hardware limitations in multiclass classification’, Psaltakis G., Rogdakis K., Loizos M., Kymakis E. Discover Materials, 2024, 4 (1), art. no. 7.
  30. ‘4F-Phenethylammonium chloride as a key component for interfacial engineering of wide-bandgap perovskite absorber’, Tzoganakis N., Spiliarotis E., Tsikritzis D., Kymakis E. Nano Energy, 2024, 128, art. no. 109914.
  31. ‘ActIVO: An Active Perception Framework for Skill Transfer Through Iterative Visual Observations’, Papageorgiou D., Kounalakis N., Efstathopoulos N., Fasoulas J., Sfakiotakis M. 32nd Mediterranean Conference on Control and Automation, 2024, MED 2024, pp. 94 – 100.
  1. ‘Topic modeling and sentiment analysis of Greek clinician–patient conversations in hematologic malignancies’, Chatzimina M.E., Papadaki H.A., Pontikoglou C., Tsiknakis M. International Journal of Medical Informatics, 2025, 204, art. no. 106071.
  2. ‘A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data’, Skaramagkas V., Kyprakis I., Karanasiou G.S., Fotiadis D.I., Tsiknakis M. IEEE Open Journal of Engineering in Medicine and Biology, 2025, 6, pp. 261 – 268.
  3. ‘Driving International Collaboration Beyond Boundaries Through Hackathons: A Comparative Analysis of Four Hackathon Setups’, Barana A., Chatzea V.E., Henao K., Hildebrandt A.M., Logothetis I., Marchisio Conte M., Papadakis A., Rueda A., Samoilovich D., Triantafyllidis G., Vidakis N. Information (Switzerland), 2025, 16 (6), art. no. 488.
  4. ‘Enhancing the Dispersibility and Stability of Graphene in Water Using Porphyrin-Based Compounds’, Αnagnostou K., Sotiropoulos E., Tzoganakis N., Polyzoidis C., Rogdakis K., Katsari A., Achilleos K., Triantafyllou E., Landrou G., Nikoloudakis E., Charalambidis G., Coutsolelos A.G., Kymakis E. Small Methods, 2025, 9 (8), art. no. 2401431.
  5. ‘A Multi-Constrained Knapsack Approach for Educational Resource Allocation: Genetic Algorithm with Category- Specific Optimization’, Tsamis G., Vassiliou G., Chatzinikolaou S., Kondylakis H., Papadakis N. Electronics (Switzerland), 2025, 14 (19), art. no. 3898.
  6. ‘Cost-Effective Design, Content Management System Implementation and Artificial Intelligence Support of Greek Government AADE, myDATA Web Service for Generic Government Infrastructure, a Complete Analysis’, Tsamis G., Evangelos G., Papakostas A., Vassiliou G., Grafanakis M., Garefalakis A., Vassalos M., Mylona A., Papadakis N. Algorithms, 2025, 18 (6), art. no. 339.
  7. ‘Implementing Educational Innovation in LMSs: Hackathons, Microcredentials, and Blended Learning’, Stamatakis A., Logothetis I., Chatzea V.E., Papadakis A., Vidakis N. Applied System Innovation, 2025, 8 (6), art. no. 175.
  8. ‘A critical review of explainable deep learning in lung cancer diagnosis’, Koutoulakis E., Trivizakis E., Markodimitrakis E., Agelaki S., Tsiknakis M., Marias K. Artificial Intelligence Review, 2026, 59 (1), art. no. 28.
  9. ‘Digital Serious Games for Undergraduate Nursing Education: A Review of Serious Games Key Design Characteristics and Gamification Elements’, Chatzea V.E., Logothetis I., Kalogiannakis M., Rovithis M., Vidakis N. Information (Switzerland), 2025, 16 (10), art. no. 877.
  10. ΄Enhanced efficiency and stability in indoor organic photovoltaics with spray-deposited, liquid-processable MoS₂ and WS₂ hole transport layers’, Tountas M., Anagnostou K., Polyzoidis C., Sotiropoulos E., Kymakis E. Discover Materials, 2025, 5 (1), art. no. 85.
  11. ‘Pain Assessment Using Multi-Kernel-FCN-LSTM and Haemoglobin Difference in fNIRS’, Bargshady G., Aziz S., Gkikas S., Tsiknakis M., Goecke R., Fernandez Rojas R. ACM Transactions on Computing for Healthcare, 2025, 6 (4), art. no. 50.
  12. ‘An Overview of Stress Analysis Based on Physiological Signals: Systematic Review of Open Datasets and Current Trends’, Chatzaki C., Tsiknakis M. Sensors, 2025, 25 (23), art. no. 7108.
  13. ‘A Novel Approach to Distinguish Parkinson’s Disease Patients from Healthy Control Subjects Using Speech-Based Task Analysis’, Pentari A., Skaramagkas V., Lappa T., Boura I., Karamanis G., Kefalopoulou Z., Spanaki C., Fotiadis D.I., Tsiknakis M. IEEE Journal of Biomedical and Health Informatics, 2025.
  14. ‘Event Prediction Using Spatial–Temporal Data for a Predictive Traffic Accident Approach Through Categorical Logic’, Koutsaki E., Vardakis G., Papadakis N. Data, 2025, 10 (6), art. no. 85.
  15. ‘Stop Recycling the Past and Start Building for the Future: An AR Board Game Promoting Recycling and Sustainability Education’, Logothetis I., Andrianakis I., Stamatakis A., Chatzea V.E., Vidakis N. Electronics (Switzerland), 2025, 14 (24), art. no. 4931.
  16. ‘Threshold Resistive Switching in Inorganic Lead-Free Cesium-Bismuth Iodide Perovskite for Neuron Emulation’, Loizos M., Chatzimanolis K., Anagnostou K., Rogdakis K., Kymakis E. ACS Applied Electronic Materials, 2025, 7 (8), pp. 3610 – 3619.
  17. ‘PainFormer: A Vision Foundation Model for Automatic Pain Assessment’, Gkikas S., Rojas R.F., Tsiknakis M. IEEE Transactions on Affective Computing, 2025, 16 (4), pp. 3369 – 3386.
  18. ‘From green cathode material to sustainable energy technology: A holistic approach’, Tsoukas T., Kavousanos N., Floraki C., Apostolopoulou M., Ramirez R.S., Vernardou D. Next Materials, 2025, 9, art. no. 100970.
  19. ‘Dual stream transformer for medication state classification in Parkinson’s disease patients using facial videos’, Skaramagkas V., Boura I., Karamanis G., Kyprakis I., Fotiadis D.I., Kefalopoulou Z., Spanaki C., Tsiknakis M. npj Digital Medicine, 2025, 8 (1), art. no. 226.
  20. ‘Early-stage analysis of PET – fullerene derivatives for electron transport in photovoltaics’, Đapović M., Cvetanović K., Poštić V., Jovanov V., Bošković M.V., Polyzoidis C., Tzoganakis N., Rogdakis K., Kymakis E., Maslak V., Mitrović A. Physical Chemistry Chemical Physics, 2025, 27 (35), pp. 18256 – 18262.
  21. ‘GRAsPAD: Generalized framework for optimal grasp key-points active detection’, Efstathopoulos N., Kounalakis N., Balaska V., Fasoulas J., Papageorgiou D. IEEE International Workshop on Robot and Human Communication, 2025, RO-MAN, pp. 629 – 635.
  22. ‘LAIF: Learning by demonstration through Active Incremental data Fusion of task observations’ Papageorgiou D., Efstathopoulos N., Angus Y., Kounalakis N. IEEE International Conference on Imaging Systems and Techniques, IST 2025 – Conference Proceedings, 2025.
  1. ‘Optimized UKF-based perception of a repetitive dynamic event’, Efstathopoulos N., Papageorgiou D. European Control Conference (Piscataway, N.J. Online), ECC, (2025), pp. 3089 – 3094.
  2. ‘A passive DCNN based Vision-to-Haptics control scheme for avoiding iatrogenic harm in robotic-assisted surgery’, Papageorgiou D., Papadopoulou M., Efstathopoulos N., Kastritsi T. European Control Conference (Piscataway, N.J. Online), 2025, ECC, pp. 588 – 595.
  3. ‘Distinguishing Gait Patterns in PD Patients Under Different Treatments via Recurrence Plots and Vision Transformer Fusion’, Skaramagkas V., Karamanis G., Boura I., Chatzaki C., Spanaki C., Kefalopoulou Z., Tsiknakis M. IEEE Open Journal of Engineering in Medicine and Biology, 2026, 7, pp. 63 – 69.
  4. ‘GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion’, Khan M.U., Chetty G., Gkikas S., Tsiknakis M., Goecke R., Fernandez-Rojas R. Information Fusion, 2026, 131, art. no. 104173.
  5. ‘Electrode-Engineered Dual-Mode Multifunctional Lead-Free Perovskite Optoelectronic Memristors for Neuromorphic Computing’, Loizos M., Rogdakis K., Chatzimanolis K., Anagnostou K., Kymakis E. Advanced Electronic Materials, 2026.
  6. ‘Federated learning on magnetic resonance imaging: a critical review’, Markodimitrakis E., Trivizakis E., Ioannidis G.S., Koutoulakis E., Tsiknakis M., Papanikolaou N., Klontzas M.E., Yaqub M., Marias K. Artificial Intelligence Review, 2026, 59 (3), art. no. 97.

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